Decoding the top 5 cybersecurity risks of generative AI

  What is Data Classification? Data classification in its core is the process of identifying and categorizing data based on its sensitivity, level, type, and importance to an organization. This helps in determining the appropriate security measures and access controls to protect the data from unauthorized access, loss, or misuse. According to  ISO 27001 , data classification is a process that aims to ensure an adequate level of protection for corporate data. This classification must be based on the criticality, value, and legal requirements that involve this data with an initial goal to mitigate data leakage or improper access due to the lack of identification of this information. In addition, the classification process makes it easier to locate and retrieve data, which is crucial when it comes to  risk management , compliance, data security, or adapting to regulations such as  GDPR  and  PCI DSS compliance . Another advantage of data classification is that...

  Whether it is increasing the visibility across the network, meeting regulatory compliance, or protecting sensitive data from breaches and leaks, Data Discovery and Data Classification can benefit organizations in multiple ways. With the rapid expansion of perimeter-less networks and proliferation of data across businesses of all sizes, identifying and classifying the data must be the first step to protect it from emerging cybersecurity risks. This article answers some of the most frequently asked questions about data discovery and classification and helps better understand the key processes vital to ensure complete  Data Protection . 1. What is the difference between sensitive and non-sensitive Personally Identifiable Information (PII)? Personally Identifiable Information (PII) refers to data or sets of data that could identify an individual. PII data can be associated with individuals to either recognize them uniquely or through a combination of several identifiers. PII can...